The power requirements posed by the fifth-generation and beyond cellular networks are an important constraint in network deployment and require energy-efficient solutions. In this work, we propose a novel user load transfer approach using airborne base stations (BS) mounted on drones for reliable and secure power redistribution across the micro-grid network comprising green small cell BSs. Depending on the user density and the availability of an aerial BS, the energy requirement of a cell with an energy deficit is accommodated by migrating the aerial BS from a high-energy to a low-energy cell. The proposed hybrid drone-based framework integrates long short-term memory with unique cost functions using an evolutionary neural network for drones and BSs and efficiently manages energy and load redistribution. The proposed algorithm reduces power outages at BSs and maintains consistent throughput stability, thereby demonstrating its capability to boost the reliability and robustness of wireless communication systems.

翻译：第五代及未来蜂窝网络的功耗需求是网络部署中的重要约束条件，亟需能效解决方案。本文提出一种利用机载基站（搭载于无人机）的新型用户负载转移方法，实现绿色小小区基站组成的微电网中可靠且安全的功率再分配。根据用户密度及空中基站的可用性，存在能量短缺的蜂窝节点通过将空中基站从高能量蜂窝迁移至低能量蜂窝来满足其能量需求。所提出的混合无人机框架将长短期记忆网络与基于进化神经网络构建的独特成本函数相结合，应用于无人机与基站，从而高效管理能量与负载的再分配。该算法可减少基站的断电现象，并维持稳定的吞吐量性能，由此证明其增强无线通信系统可靠性与鲁棒性的能力。